[Most-ai-contest] multi-span Extraction

kysu kysu於iis.sinica.edu.tw
Wed 12月 25 16:27:14 CST 2019


Some questions have specified the desired numbers. It seems that we can also
tailored our output according to the specified number (not just locating the
regions according to the specified number). I list some examples as follows
for your information. Besides, some outputs still have boundary problems.
Please take a look.

 

KY

 

-----------------------------

data_number: D008Q06

Question 「阿拉伯之春」运动中,有哪六个国家政权被推翻?

Prediction: 突尼西亚和6个

Answer: 突尼西亚、埃及、利比亚、叶门、阿尔及利亚及苏丹

 

data_number: D031Q03

Question 新版的北美贸易协定涉及哪三个国家?

Prediction: 美国总统川普今天宣布。撤销对加拿大和墨西哥

Answer: 美国、墨西哥及加拿大

 

data_number: D071Q04

Question 有「渡海三家」之称的是哪三位艺术家?

Prediction: 齐白石、徐悲鸿、黄君璧、黄宾虹、溥心畬、郎静山

Answer: 黄君璧、溥心畬与张大千

 

data_number: D113Q07 [Formatting problem]

Question 根据文本的数据,男性癌症前三名是哪三种?

Prediction: 肺癌、前列腺癌摄护腺癌、大肠直肠癌

Answer: 肺癌、前列腺癌(摄护腺癌)及大肠直肠癌

 

data_number: D113Q08

Question 根据文本的数据,女性癌症前三名是哪三种?

Prediction: 乳癌、大肠直肠癌、肺癌和子宫颈癌

Answer: 乳癌、大肠直肠癌及肺癌

 

data_number: D242Q03

Question 罗马有四间特级宗座圣殿,分别是哪四所?

Prediction: 大殿、圣伯多禄大殿、圣母大殿和城外

Answer: 圣若望拉特朗大殿、圣伯多禄大殿、圣母大殿和城外圣保禄大殿

 

data_number: D278Q05

Question 寒浞杀了夏朝的哪两位君王?

Prediction: 帝相

Answer: 相和后羿

 

data_number: D282Q07

Question 文中提及有哪三道菜是小真第一次吃到?

Prediction: 丝瓜炒蛋

Answer: 丁香鱼、澎湖龙虾和丝瓜炒蛋

 

data_number: D282Q09

Question 澎湖旅行团安排了哪五个景点?

Prediction: 天后宫

Answer: 天后宫、通梁古榕、跨海大桥、西台古堡和桶盘屿

 

data_number: D292Q03 [suffix ending should be consistent]

Question 文中提及,三峡是由哪三个峡谷组成?

Prediction: 峡、巫峡與西

Answer: 瞿塘峡、巫峡及西陵峡

 

data_number: D046Q06

Question 六大通勤方式的细悬浮微粒(PM2.5)平均浓度暴露由高至低前三名是哪三种交通工具?

Prediction: 捷运、公车、汽车、机车、步行、脚踏车

Answer: 机车、公车及捷运

 

data_number: D090Q09 [output seems strange]

Question 生物医学所使用的奈米结晶金属是哪两种?(在本文中)

Prediction: 奈米技术英语N

Answer: 奈米结晶银与奈米结晶钛

 

data_number: D310Q02

Question 台湾地区排名前三名的死亡原因是哪些?

Prediction: 肺炎和恶性肿瘤

Answer: 恶性肿瘤、心脏疾病及肺炎

 

data_number: D318Q01 [Do we follow the order appearing in the text?]

Question 流行感冒盛行的季节是哪两季?

Prediction: 冬季和夏季

Answer: 夏季与冬季

 

data_number: D032Q04

Question 北美贸易协定涉及哪三个国家?

Prediction: 国、加拿大及墨

Answer: 美国、墨西哥及加拿大

 

data_number: D008Q06

Question 「阿拉伯之春」运动中,有哪六个国家政权被推翻?

Prediction: 突尼西亚和6个

Answer: 突尼西亚、埃及、利比亚、叶门、阿尔及利亚及苏丹

 

data_number: D088Q06 [output seems strange]

Question 试举出文本中五项作为生质燃料原料的粮食作物。

Prediction: 生物燃料、Biofuel及料英语Bi

Answer: 玉米、黄豆、木薯、亚麻籽和油菜籽

 

data_number: D107Q01 [seems we can check suffix ending]

Question 健康照护体系有哪三种保险制?

Prediction: 三种不同的体系。社会保险制

Answer: 社会保险制、公医制及自由市场

 

data_number: D062Q04

Question 陈由豪名列台湾十大通缉要犯主要因为那两大案件?

Prediction: 损害债权案

Answer: 东华掏空与东鼎侵占

 

data_number: D082Q03

Question 根据新闻文本,第二届科技大擂台的测验有哪两大类?

Prediction: 语音

Answer: 语音阅与连续对话

 

data_number: D322Q02 [Prefer the string that contains “、”, which could be a
useful hint/feature]

Question 目前在台湾出现的肠病毒有哪几型?

Prediction: 71型71型

Answer: 71型、D68型、克沙奇A6型、A10型、克沙奇A9型、B5型及伊科病毒11型

--------------------------------

 

From: kysu [mailto:kysu at iis.sinica.edu.tw] 
Sent: Wednesday, December 25, 2019 3:47 PM
To: '闍怵羅' <s2w81234 at gmail.com>; '范正忠' <jjfan at iis.sinica.edu.tw>
Cc: 'Most-ai Contest' <Most-ai-contest at iis.sinica.edu.tw>; 'Menphis Chen'
<kychen at mail.ntust.edu.tw>; 'kysu' <kysu at iis.sinica.edu.tw>
Subject: RE: [Most-ai-contest] multi-span Extraction

 

Thanks a lot! We now get back two more answers. I have quickly scan your
output. It seems there is still a chance to recover more error cases (i.e.,
once your DNN can locate the desired region, then we can adjust the desired
boundary with rules). Please keep going to further improve the performance.
Thanks for your effort in advance.

 

KY

 

From: most-ai-contest-bounces at iis.sinica.edu.tw
<mailto:most-ai-contest-bounces at iis.sinica.edu.tw>
[mailto:most-ai-contest-bounces at iis.sinica.edu.tw] On Behalf Of 闍怵羅
Sent: Wednesday, December 25, 2019 3:35 PM
To: 范正忠 <jjfan at iis.sinica.edu.tw <mailto:jjfan at iis.sinica.edu.tw> >
Cc: Most-ai Contest <Most-ai-contest at iis.sinica.edu.tw
<mailto:Most-ai-contest at iis.sinica.edu.tw> >
Subject: Re: [Most-ai-contest] multi-span Extraction

 

大家好,
這是第四版把、的整個擴充 
擴的更有邏輯性一點
result檔案就是v4對於training test dev 跟w3題目的回答狀況
MSPE_v4.py就是第四版的檔案
麻煩在merge上去。

 

闍怵羅 <s2w81234 at gmail.com <mailto:s2w81234 at gmail.com> > 於 2019年12月25日 週三 下
午3:18寫道:


<https://drive.google.com/file/d/1AXo2RVaeqDFPxzLR5GIVc5u8tiniDu3a/view?usp=
drive_web>  MSPE.rar

其實 load的model應該都一樣才對,

後續的改種都是MSPE.py的檔案

我再把現在環境的檔案全部傳一次給您

 

范正忠 <jjfan at iis.sinica.edu.tw <mailto:jjfan at iis.sinica.edu.tw> > 於
2019年12月25日 週三 下午2:59寫道:

看起來還不錯, 我需要跟你比對一下, 雙方的 model data 是否一樣 ?

 

e.g. ./bao_bert_lin

 

jjfan

 


  _____  


From: "闍怵羅" < <mailto:s2w81234 at gmail.com> s2w81234 at gmail.com>
To: "Menphis Chen" < <mailto:kychen at mail.ntust.edu.tw>
kychen at mail.ntust.edu.tw>
Cc: "Most-ai Contest" < <mailto:Most-ai-contest at iis.sinica.edu.tw>
Most-ai-contest at iis.sinica.edu.tw>
Sent: Wednesday, December 25, 2019 2:49:36 PM
Subject: Re: [Most-ai-contest] multi-span Extraction

 

大家好,

附檔是整個題目的回答情況

包含

Question_ID:

Question:

Prediction:

Answer:

==================

勞煩確認

 

 

Menphis Chen < <mailto:kychen at mail.ntust.edu.tw> kychen at mail.ntust.edu.tw>
於 2019年12月25日 週三 下午2:24寫道:

Hi 上堡,

 

可否提供一下你自己執行的結果?

至少昨天投影片上那幾題的結果

 

to 范博士,

有沒有可能單獨測試阿堡的程式在你那邊的執行結果?

 

 

謝謝

Best, Menphis.

 

----

Kuan-Yu Menphis Chen

Assistant Professor, Computer Science and Information Engineering 

National Taiwan University of Science and Technology

TEL: +886-2-2737-6377

Web:  <http://faculty.csie.ntust.edu.tw/~kychen>
http://faculty.csie.ntust.edu.tw/~kychen

----

 

On Wed, 25 Dec 2019 14:20:27 +0800

闍怵羅 < <mailto:s2w81234 at gmail.com> s2w81234 at gmail.com> wrote:

 

范博士好, 

在多次確認後,

這個版本應該可以正常執行才對。\

麻煩確認


_______________________________________________
Most-ai-contest mailing list
 <mailto:Most-ai-contest at iis.sinica.edu.tw>
Most-ai-contest at iis.sinica.edu.tw
 <https://www.iis.sinica.edu.tw/mailman/listinfo/most-ai-contest>
https://www.iis.sinica.edu.tw/mailman/listinfo/most-ai-contest

-------------- next part --------------
A non-text attachment was scrubbed...
Name: winmail.dat
Type: application/ms-tnef
Size: 29514 bytes
Desc: not available
URL: <http://www.iis.sinica.edu.tw/pipermail/most-ai-contest/attachments/20191225/469214be/attachment-0001.bin>


More information about the Most-ai-contest mailing list